Over the last century, dogs have been increasingly used to detect rare and elusive species or traces of them. The use of wildlife detection dogs (WDD) is particularly well established in North America, Europe and Oceania, and projects deploying them have increased worldwide. However, if they are to make a significant contribution to conservation and management, their strengths, abilities, and limitations should be fully identified. We reviewed the use of WDD with particular focus on the breeds used in different countries and for various targets, as well as their overall performance compared to other methods, by developing and analysing a database of 1220 publications, including 916 scientific ones, covering 2464 individual cases - most of them (1840) scientific. With the worldwide increase in the use of WDD, associated tasks have changed and become much more diverse. Since 1930, reports exist for 62 countries and 407 animal, 42 plant, 26 fungi and 6 bacteria species. Altogether, 108 FCI...

Global Export of Dog or Cat Food Share by Country (US Dollars), 2023 Discover more data with ReportLinker!

European Export of Dog or Cat Food Share by Country (Kilograms), 2023 Discover more data with ReportLinker!

BackgroundCanine rabies is a neglected disease causing 55,000 human deaths worldwide per year, and 99% of all cases are transmitted by dog bites. In N'Djaména, the capital of Chad, rabies is endemic with an incidence of 1.71/1,000 dogs (95% C.I. 1.45–1.98). The gold standard of rabies diagnosis is the direct immunofluorescent antibody (DFA) test, requiring a fluorescent microscope. The Centers for Disease Control and Prevention (CDC, Atlanta, United States of America) developed a histochemical test using low-cost light microscopy, the direct rapid immunohistochemical test (dRIT).Methodology/Principal FindingsWe evaluated the dRIT in the Chadian National Veterinary Laboratory in N'Djaména by testing 35 fresh samples parallel with both the DFA and dRIT. Additional retests (n = 68 in Chad, n = 74 at CDC) by DFA and dRIT of stored samples enhanced the power of the evaluation. All samples were from dogs, cats, and in one case from a bat. The dRIT performed very well compared to DFA. We found a 100% agreement of the dRIT and DFA in fresh samples (n = 35). Results of retesting at CDC and in Chad depended on the condition of samples. When the sample was in good condition (fresh brain tissue), we found simple Cohen's kappa coefficient related to the DFA diagnostic results in fresh tissue of 0.87 (95% C.I. 0.63–1) up to 1. For poor quality samples, the kappa values were between 0.13 (95% C.I. −0.15–0.40) and 0.48 (95% C.I. 0.14–0.82). For samples stored in glycerol, dRIT results were more likely to agree with DFA testing in fresh samples than the DFA retesting.Conclusion/SignificanceThe dRIT is as reliable a diagnostic method as the gold standard (DFA) for fresh samples. It has an advantage of requiring only light microscopy, which is 10 times less expensive than a fluorescence microscope. Reduced cost suggests high potential for making rabies diagnosis available in other cities and rural areas of Africa for large populations for which a capacity for diagnosis will contribute to rabies control.

European Sold Production of Dog or Cat Food Share by Country (Kilograms), 2023 Discover more data with ReportLinker!

This is a dataset of sales data of vegetables in a supermarket.

See More: - Countries GDP 1960 to 2021 - Chatbot Dataset (AI Q&A) - Cat's Breed Dataset - Dog's Breed Dataset - Education with assistive technology - Household air pollution - Student's Scores

Please upvote this if it helps you. Thanks😄

This is a common Zenodo repository for both lastfm-360K and lastfm-1K datasets. See below the details of both datasets, including license, acknowledgements, contact, and instructions to cite.

LASTFM-360K (version 1.2, March 2010).

What is this? This dataset contains tuples (for ~360,000 users) collected from Last.fm API, using the user.getTopArtists() method.

Files:

usersha1-artmbid-artname-plays.tsv (MD5: be672526eb7c69495c27ad27803148f1)

usersha1-profile.tsv (MD5: 51159d4edf6a92cb96f87768aa2be678)

mbox_sha1sum.py (MD5: feb3485eace85f3ba62e324839e6ab39)

Data Statistics:

File usersha1-artmbid-artname-plays.tsv:

Total Lines: 17,559,530

Unique Users: 359,347

Artists with MBID: 186,642

Artists without MBID: 107,373

Data Format: The data is formatted one entry per line as follows (tab separated "\t"):

File usersha1-artmbid-artname-plays.tsv:

user-mboxsha1 \t musicbrainz-artist-id \t artist-name \t plays

File usersha1-profile.tsv:

user-mboxsha1 \t gender (m|f|empty) \t age (int|empty) \t country (str|empty) \t signup (date|empty)

Example:

File usersha1-artmbid-artname-plays.tsv:

000063d3fe1cf2ba248b9e3c3f0334845a27a6be \t a3cb23fc-acd3-4ce0-8f36-1e5aa6a18432 \t u2 \t 31 ...

File usersha1-profile.tsv:

000063d3fe1cf2ba248b9e3c3f0334845a27a6be \t m \t 19 \t Mexico \t Apr 28, 2008 ...

LASTFM-1K (version 1.0, March 2010).

What is this? This dataset contains tuples collected from Last.fm API, using the user.getRecentTracks() method. This dataset represents the whole listening habits (till May, 5th 2009) for nearly 1,000 users.

Files:

userid-timestamp-artid-artname-traid-traname.tsv (MD5: 64747b21563e3d2aa95751e0ddc46b68)

userid-profile.tsv (MD5: c53608b6b445db201098c1489ea497df)

Data Statistics:

File userid-timestamp-artid-artname-traid-traname.tsv:

Total Lines: 19,150,868

Unique Users: 992

Artists with MBID: 107,528

Artists without MBDID: 69,420

Data Format: The data is formatted one entry per line as follows (tab separated, "\t"):

File userid-timestamp-artid-artname-traid-traname.tsv:

userid \t timestamp \t musicbrainz-artist-id \t artist-name \t musicbrainz-track-id \t track-name

File userid-profile.tsv:

userid \t gender ('m'|'f'|empty) \t age (int|empty) \t country (str|empty) \t signup (date|empty)

Example:

File userid-timestamp-artid-artname-traid-traname.tsv:

user_000639 \t 2009-04-08T01:57:47Z \t MBID \t The Dogs D'Amour \t MBID \t Fall in Love Again? user_000639 \t 2009-04-08T01:53:56Z \t MBID \t The Dogs D'Amour \t MBID \t Wait Until I'm Dead ...

File userid-profile.tsv:

user_000639 \t m \t Mexico \t Apr 27, 2005 ...

LICENSE OF BOTH DATASETS. The data contained in both datasets is distributed with permission of Last.fm. The data is made available for non-commercial use. Those interested in using the data or web services in a commercial context should contact:

partners [at] last [dot] fm

For more information see Last.fm terms of service

ACKNOWLEDGEMENTS. Thanks to Last.fm for providing the access to this data via their web services. Special thanks to Norman Casagrande.

REFERENCES. When using this dataset you must reference the Last.fm webpage. Optionally (not mandatory at all!), you can cite Chapter 3 of this book:

@book{Celma:Springer2010, author = {Celma, O.}, title = {{Music Recommendation and Discovery in the Long Tail}}, publisher = {Springer}, year = {2010} }

CONTACT: This data was collected by Òscar Celma @ MTG/UPF

European Import of Dog or Cat Food Share by Country (Kilograms), 2023 Discover more data with ReportLinker!

Global Export of Dog or Cat Food by Country, 2023 Discover more data with ReportLinker!

Narcotic Detection Dogs (NDDs) are essential tools in the fight against drug trafficking, acting with high precision and improving efficiency at border posts. When trained efficiently, these dogs can detect a great variety of compounds, such as cocaine, marijuana and its derivatives, and synthetic drugs, among others. Most of the knowledge on canine detection processes and efficiency has been determined in experimentally controlled conditions, but narcotic seizures detected by dogs in realistic anti-drug operations have not yet been critically determined in a Country with continental dimensions such as Brazil. This study aimed to evaluate the data set concerning the performance, operations, efficiency, and success rate of NDDs used by the Brazilian Customs Authority (Aduana) in the fight against drug trafficking. Narcotic seizure rates increased in luggage and packages detected by NDDs working at border crossings from 2010 to 2020, with an estimated value of over US$ 2 billion in losses to the cocaine drug trafficking business. NDD units also increased most narcotic groups seized in the same period. The number of NDDs and anti-drug operations, and Customs Border Post (CBP) influenced the rates of drugs seized. NDDs provided an increase of 3,157 kg/animal of drugs seized for every new dog introduced into the inspection systems.

European Dog and Cat Foods Market Size Volume Per Capita by Country, 2023 Discover more data with ReportLinker!

European Dog and Cat Foods Market Size Value Share by Country (Euros), 2023 Discover more data with ReportLinker!